School of Engineering

The M.Tech. in Cyber Security is a 2-year postgraduate program that emphasizes advanced topics in information security, cryptography, network defense, and digital forensics. The program includes topics including ethical hacking, cloud security, IoT security, and security analytics. Students acquire practical experience through lab sessions and industrial assignments, acquiring competence in creating and executing robust cybersecurity solutions. The program of study prepares graduates for leadership roles in cybersecurity, including security analysts, penetration testers, security architects, and information security managers in a variety of sectors, as well as research and development positions in information security.

B.Tech. in Information Technology is a 4-year undergraduate degree program that integrates computer science, software engineering, and information systems. The curriculum encompasses topics such as programming, data structures, algorithms, computer networks, database administration, and emerging technologies. Graduates acquire the necessary technical skills and problem-solving ability to design, implement, and maintain information systems and software applications. The curriculum prepares students for a variety of IT jobs, such as software development, web development, system management, and data analysis.

M.Tech. in Information Technology is an advanced postgraduate degree that normally lasts 2 years and is intended for students and professionals looking to expand their IT knowledge. The program includes cutting-edge areas like artificial intelligence, data science, cybersecurity, cloud computing, and software engineering. Coursework frequently combines academic and practical components, with a focus on research and industry-relevant projects. Students engage in advanced labs, seminars, and a final dissertation or capstone project. This degree equips graduates with specific knowledge and skills, equipping them for leadership positions in IT, research, or a doctorate study. Many colleges provide flexible learning options, such as part-time and online courses, to accommodate working people.

M.Tech. in Mechanical Engineering is an advanced postgraduate degree typically completed in 2 years. The program deepens students' understanding of mechanical engineering principles and applications, covering subjects like advanced thermodynamics, robotics, finite element analysis, and advanced manufacturing processes. Students engage in coursework, laboratory experiments, and a research thesis or project. The curriculum often includes electives allowing specialization in areas such as automotive engineering, aerospace systems, or energy systems. This degree enhances career prospects in industries like automotive, aerospace, energy, and manufacturing, preparing graduates for roles in research and development, design engineering, or advanced technical management positions.

M.Tech. in Civil Engineering is a 2-year postgraduate degree that aims to give in-depth knowledge and advanced technical skills in structural engineering, geotechnical engineering, environmental engineering, transportation engineering, and water resources. This course combines theoretical concepts with practical applications, emphasizing research, problem-solving, and the innovative use of engineering approaches to meet real-world problems. Graduates are prepared to design and manage large-scale infrastructure projects that promote sustainable development and safety. This degree is appropriate for people who want to work in specialized civil engineering professions, research, or academia and requires a B.Tech. or equivalent in Civil Engineering for admission.

Bachelor of Technology (B.Tech.) in Data Science is a 4-year undergraduate program that equips students with skills in data analysis, machine learning, artificial intelligence, and big data management. This course combines technical and analytical training, including programming languages like Python and R, statistical methods, and data visualization techniques to prepare graduates for the growing demand in data-driven industries. Throughout the program, students learn to process, analyze, and interpret complex data sets, turning raw data into actionable insights. Graduates find career opportunities as data scientists, data engineers, and business analysts across various sectors, including technology, finance, and healthcare.

Students who complete the 4-year undergraduate Bachelor of Engineering (B.E.) in Electronics and Communication Engineering degree will have a solid foundation in electronic systems and communication technology. Digital electronics, signal processing, microprocessors, wireless communication, and network engineering are just a few of the topics covered in this extensive course. To obtain practical experience, students participate in projects, internships, and practical laboratory work. Emerging technologies like 5G, IoT, and AI applications in communications are frequently covered in the curriculum. Graduates are ready for jobs in consumer electronics, IT, semiconductors, and telecommunications. With the option to further specialize through postgraduate study, they can work as communication systems designers, network administrators, or hardware engineers.

Students who complete a 3-year program leading to a diploma in mechanical engineering gain a foundational understanding of mechanical engineering concepts and procedures. Important topics covered in the curriculum include manufacturing processes, automation, fluid mechanics, thermodynamics, material science, and mechanical design. Through lab work, workshops, and industrial training, students also obtain real-world experience that equips them for applications in a variety of sectors. The curriculum aims to give students the abilities required for jobs in quality control, production, maintenance, and mechanical design. Graduates can work in industries like manufacturing, energy, automotive, and aerospace.

 

A 3-year undergraduate curriculum called a Diploma in Civil Engineering gives students the fundamental knowledge and abilities in civil engineering concepts and procedures. Fluid mechanics, building materials, surveying, geotechnical engineering, transportation engineering, and structural analysis are among the topics covered in the program. Through laboratory work, field trips, and hands-on training, students acquire practical expertise that equips them to help in the design, construction, and maintenance of infrastructure projects such as buildings, bridges, and roads. With opportunities in both the public and commercial sectors, the curriculum is perfect for anyone looking for jobs in design engineering, construction, or project management.

The Diploma in Electronics and Communication Engineering is a 3 year program designed to provide foundational knowledge and practical skills in electronics and communication systems. The course is divided into six semesters, covering topics such as circuit design, digital electronics, microprocessors, communication systems, and instrumentation. With a focus on hands-on training through labs and projects, students gain expertise in assembling, maintaining, and troubleshooting electronic devices and communication networks. This program is ideal for those seeking entry-level positions in industries like telecommunications, consumer electronics, and automation or pursuing further studies in engineering. It equips students with the skills for a successful technical career.

 M.Tech. in Data Science is a 2-year postgraduate program designed to equip students with advanced knowledge and skills in data analytics, machine learning, and big data technologies. This course covers various aspects such as data mining, statistical analysis, data visualization, and artificial intelligence, preparing students for roles in industries like IT, finance, healthcare, and e-commerce. The curriculum includes a blend of theoretical knowledge and practical experience, with hands-on training on industry tools and techniques. Students also work on real-time projects and case studies to develop problem-solving abilities. Upon completion, graduates can pursue career opportunities as data scientists, analysts, engineers, or researchers, contributing to data-driven decision-making processes in organizations.

 Diploma in Artificial Intelligence and Machine Learning is a comprehensive program designed to equip students with in-demand skills in AI and ML technologies. Spanning a duration of 6 -12 months, this course covers fundamental and advanced concepts such as neural networks, deep learning, natural language processing, and computer vision. Students will gain hands-on experience with programming languages like Python, libraries such as TensorFlow and PyTorch, and tools for data visualization and model deployment. The curriculum integrates real-world projects and case studies, preparing learners for roles like AI Developer, Data Scientist, and ML Engineer. Ideal for professionals and graduates in STEM fields, this diploma opens doors to a rapidly growing industry with abundant career opportunities.

 B.Tech. in Artificial Intelligence (AI) - Lateral Entry is a specialized undergraduate program designed for students who have completed a diploma in engineering or have equivalent qualifications. The course typically spans 3 years and focuses on advanced AI concepts, machine learning, deep learning, robotics, data science, and natural language processing. Students gain in-depth knowledge of algorithms, programming languages, AI frameworks, and real-world applications in fields like automation, healthcare, finance, and robotics. The program emphasizes both theoretical understanding and practical implementation, with opportunities for hands-on projects, internships, and industry collaborations. Upon completion, graduates can pursue careers as AI engineers, data scientists, or machine learning specialists in a wide range of industries, contributing to AI-driven innovations and solutions.

M.Tech. in Data Science - Lateral Entry is a specialized postgraduate program designed for students who have completed a relevant undergraduate degree, such as B.Tech. or B.Sc., and wish to advance their knowledge in data science. The course typically spans 2 years and is divided into four semesters. It focuses on advanced topics like machine learning, artificial intelligence, big data analytics, statistical modeling, data visualization, and programming languages such as Python and R. The program also covers data mining, cloud computing, and data security. Lateral entry students benefit from a fast-tracked curriculum that builds upon their existing knowledge. Graduates of this program can pursue careers in industries like finance, healthcare, technology, and research, where data-driven decision-making is crucial.